What question did this study set out to answer?

The aim is to present Z-Theory as a framework to analyze dynamics and interference in complex systems.

February 9, 2026Open Access

Z-Theory: A Framework for Interference, System Dynamics, and Co-Agency (Part I–II)

Puntos clave

The aim is to present Z-Theory as a framework to analyze dynamics and interference in complex systems.
Introduced an interference-based framework
Focused on system dynamics and interaction effects
Included aspects of human-AI co-agency
Z-Theory provides foundational concepts for understanding complex system interactions
Highlights the significance of co-agency in human and AI collaboration
Defers advanced mechanics and state formalism to future publications

Resumen

This repository contains the public release of Z-Theory, consisting of Part I and Part II.Z-Theory introduces an interference-based framework for analyzing complex systems, focusing on system dynamics, interaction effects, and human–AI co-agency.This release is intentionally partial. Subsequent sections addressing advanced mechanics, state formalism, and extended implications are deferred to future publications.Z-Theory builds upon the causal framework introduced in Z-Loop Laws (Nguyen, Z-Lab, 2026).

Preguntar a la IA

Me gusta

Guardar

Ver artículo completo